And much more recently (December 26, 2020): https://pandas.pydata.org/pandas-docs/stable/whatsnew/v1.2.0.html https://pandas.pydata.org/pandas-docs/stable/whats

And much more recently (December 26, 2020): https://pandas.pydata.org/pandas-docs/stable/whatsnew/v1.2.0.html https://pandas.pydata.org/pandas-docs/stable/whatsnew/v1.2.0... > Experimental nullable data types for float data > We’ve added Float32Dtype / Float64Dtype and FloatingArray. These are extension data types dedicated to floating point data that can hold the pd.NA missing value indicator (GH32265, GH34307). > While the default float data type already supports missing values using np.nan, these new data types use pd.NA (and its corresponding behavior) as the missing value indicator, in line with the already existing nullable integer and boolean data types.